On macOS 10.13 (at least), unpacking the distfile as root results in
files that have strange permissions, including group/world writable
and executable. The upstream distfile has these, but extracting on
other systems or on mac not as root applies some sort of umask. On
Darwin only, chmod these spurious bits away. Tested to work as
non-root and root on macOS 10.13, and by inspection will not affect
!macOS.
No arpack release has been published by Rice University for many years, and
arpack-ng aims to provide a common repository of community fixes with a
testsuite.
Harmbase is a database application for managing harmonic constants.
It is not "plug and play" software. It's not designed to be useful
to someone who does not know how to hack Ruby code or write
interactive SQL queries.
congen is a C++ library for generating the speeds, equilibrium arguments,
and node factors of Darwin-style tidal constituents more or less as defined
in SP 98:
Manual of Harmonic Analysis and Prediction of Tides. Special Publication
No. 98, Revised (1940) Edition (reprinted 1958 with corrections;
reprinted again 1994). United States Government Printing Office, 1994.
Additionally, libcongen provides limited support for approximating
Doodson-style tidal constituents within the infrastructure of the former.
The Doodson approach is discussed in the following publication:
Foreman, M.G.G., 1977. Manual for Tidal Heights Analysis and Prediction.
Pacific Marine Science Report 77-10, Institute of Ocean Sciences,
Patricia Bay, Sidney, B.C. (2004 revision).
The Congen header file is intended to be self-documenting with regards to use
of the interface, assuming that one has access to SP 98 and a general
understanding of the subject matter.
This project started as a joint project between Debian, Octave and
Scilab in order to provide a common and maintained version of arpack,
as no single release has been published by Rice university for the
last few years and many software (Octave, Scilab, R, Matlab...) forked
it and implemented their own modifications.
Have switched to the CMAKE build and enabled tests.
make test passes all (with one patch pushed upstream)
Package additions, from the release notes are:
LAPACK 3.9.0
LAPACK QR
preconditioned QR SVD method for computing the SVD with high accuracy,
by Zlatko Drmac
LAPACK Householder Reconstruction
by Igor Kozachenko and Jim Demmel
LAPACK 3.8.0
Symmetric-indefinite Factorization: Aasen’s tridiagonalization 2 stage
A contribution from Ichitaro Yamazaki (University of Tennessee).
LAPACKE interfaces
A contribution from Julie Langou (University of Tennessee).
Highlights:
- Groupby aggregation with relabeling
- Better repr for MultiIndex
- Better truncated repr for Series and DataFrame
- Series.explode to split list-like values to rows
Highlights:
- New plotting API
- Stacking Classifier and Regressor
- Permutation-based feature importance
- Native support for missing values for gradient boosting
- Precomputed sparse nearest neighbors graph
- KNN Based Imputation
- Tree pruning
- Retrieve dataframes from OpenML
- Checking scikit-learn compatibility of an estimator
- ROC AUC now supports multiclass classification
Implements an approximate string matching version of R's native
'match' function. Can calculate various string distances based on
edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting
alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic
metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided
as well. Distances can be computed between character vectors while
taking proper care of encoding or between integer vectors representing
generic sequences. This package is built for speed and runs in
parallel by using 'openMP'. An API for C or C++ is exposed as well.
# ellipsis 0.3.0
* `check_dots_used()`, `check_dots_unnamed()`, and `check_dots_empty()` gain an
`action` argument, to specify if they should error, warn, message or signal
when the dots meet the condition.
Changelog:
ixion 0.15.0
* fill_down_cells() method has been added to model_context, to fill duplicate
values downward from an arbitrary cell position. For now, it always
duplicate the value of the source cell; cell value enumerations are not
supported. Also, filling down of formula cells is not yet supported.
* cell iterator has been aded to model_context, for efficient horizontal and
vertical iterations of cell values in an arbitrary range within a sheet.
* improved the cmake-based build, with all test cases integrated.
* switched to spdlog for compile-time debug log outputs.
* improved performance by removing repeated fetching of each formula
cell prior to interpretation.
* reworked topological sorting of formula cells to avoid having to
unnecessarily build dependency relations twice; once during the
dirty cell determination and twice prior to interpretation of
formula cells. The new code performs topological sorting during the
dirty cell determination phase.
* reworked the cell reference tracker to use R-tree. This allows more
accurate tracking of references involving grouped formulas.
* fixed a resource leak with dynamic loading of compute engine modules.
Version 0.48.0
This release is particularly small as it was present to catch anything that missed the 0.47.0 deadline (the deadline deliberately coincided with the end of support for Python 2.7). The next release will be considerably larger.
The core changes in this release are dominated by the start of the clean up needed for the end of Python 2.7 support, improvements to the CUDA target and support for numerous additional unicode string methods.
Enhancements from user contributed PRs (with thanks!):
Brian Wignall fixed more spelling typos in.
Denis Smirnov added support for string methods capitalize, casefold, swapcase , rsplit , partition and splitlines .
Elena Totmenina extended support for string methods startswith and added endswith .
Eric Wieser made type_callable return the decorated function itself in
Ethan Pronovost added support for np.argwhere in
Graham Markall contributed a large number of CUDA enhancements and fixes, namely:
* Remove Python 3.4 backports from utils
* Make device_array_like create contiguous arrays
* Don’t launch ForAll kernels with 0 elements
* Fix various issues in CUDA library search
* Enable use of records and bools for shared memory, remove ddt, add additional transpose tests
* Fix: Add more appropriate typing for CUDA device arrays
* test_consuming_strides: Keep dev array alive
* State that CUDA Toolkit 8.0 required in docs
James Bourbeau added the Python 3.8 classifier to setup.py in.
John Kirkham added a clarification to the __cuda_array_interface__ documentation in.
Leo Fang Fixed an indexing problem in dummyarray in.
Marcel Bargull fixed a build and test issue for Python 3.8 in.
Maria Rubtsov added support for string methods isdecimal , isdigit , isnumeric and replace .
General Enhancements:
* Make type_callable return the decorated function
* merge string prs
This merge PR included the following:
* Implement str.capitalize() based on CPython
* Implement str.casefold() based on CPython
* Implement str.swapcase() based on CPython
* Implement str.rsplit() based on CPython
* Implement str.isdecimal
* Implement str.isdigit
* Implement str.isnumeric
* Implement str.partition() based on CPython
* Implement str.splitlines() based on CPython
* Implement str.replace
* Functionality extension str.startswith() based on CPython
* Add functionality for str.endswith()
* Disable help messages.
* Add coverage for np.argwhere
Fixes:
* Only use lives (and not aliases) to create post parfor live set.
* Fix more spelling typos
* Propagate semantic constants ahead of static rewrites.
* Add Python 3.8 classifier to setup.py
* Update setup.py and buildscripts for dependency requirements
* Convert from arrays to names in define() and don’t invalidate for multiple consistent defines.
* Permit mixed int types in wrap_index
* Catch the use of global typed-list in JITed functions
* Fix, bug in bytecode analysis.
CUDA Enhancements/Fixes:
* Fix: Add more appropriate typing for CUDA device arrays
* Make device_array_like create contiguous arrays
* State that CUDA Toolkit 8.0 required in docs
* test_consuming_strides: Keep dev array alive
* Fix IndexError when accessing the “-1” element of dummyarray
* Enable use of records and bools for shared memory, remove ddt, add additional transpose tests
* Fix various issues in CUDA library search
* Don’t launch ForAll kernels with 0 elements
* Remove Python 3.4 backports from utils
Documentation Updates:
* Clarify what dictionary means
* Update docs for updated version requirements
* Update deprecation notices for 0.48.0
CI updates:
* Install optional dependencies for Python 3.8 tests
* Drop Py2.7 and Py3.5 from public CI
* Fix CI py38
Changes:
- Fix a regression in 1.5 that allowed expressions to compare equal to
strings, and caused == to call str() on the other object.
- Avoid using scipy versions of numpy functions, which are deprecated,
in lambdify.
Take MAINTAINERship.
Changes:
- The np.testing.utils functions have been updated from
1.19.0-dev0. This improves the function documentation and error
messages as well extending the assert_array_compare function to
additional types.
- Allow matmul (@) to work with object arrays.
- Fix regression in matmul (@) for boolean types.
- Array comparison assertions include maximum differences.
pkglint -r --network --only "migrate"
As a side-effect of migrating the homepages, pkglint also fixed a few
indentations in unrelated lines. These and the new homepages have been
checked manually.
Breaking changes:
- Deprecate is_EmptySet in favor of is_empty.
- Lambda now requires a tuple rather than a list for the signature
argument (non-tuple iterables are deprecated)
- Eq(expr) now raises ValueError. Eq(expr, 0) should be used
instead.
- Refactory of the units module. Scale factors and dimensions are now
both global and relative to single unit systems.
- get_dixon_matrix() now computes only the necessary monomials for the
Dixon matrix.
- The ProductSet of no sets is no longer the empty set. Instead is the
set consisting of the empty tuple.
- Deprecated tensorhead() and tensorsymmetry() static methods.
- Rational, irrational, transcendental and algebraic now imply finite
in the assumptions system. This means that all symbols declared as
rational, integer, odd etc are now automatically assumed finite.
- In the (old) assumptions, complex=True now implies finite=True. Note
that the default assumption for Symbol is complex=None, which allows
for the possibility for it to be infinite.
- The assumptions system is changed so that only finite numbers can be
considered real, positive, negative, nonnegative, nonpositive or
nonzero (since nonzero implies real). This means that any symbol
declared with e.g. real=True is now automatically considered
finite. It also means that infinities can not be considered positive
or negative since they are not real (e.g. oo.is_positive is now
False).
- New assumptions extended_real, extended_positive etc are added that
allow for positive and negative infinity. The equivalent of
Symbol('x', real=True) in version 1.4 is now Symbol('x',
extended_real=True). The equivalent of Symbol('x', negative=False)
is now Symbol('x', extended_negative=False) although it is usually
better to use Symbol('x', nonnegative=True) (which implies both
real=True and finite=True as well). Code that previously checked if
x.is_positive should now be written as if x.is_extended_positive if
it is intended that infinities should be allowed.
- Numbers still compare the same as they do in Python (Float(1) == 1)
except when they appear in an Expression, e.g. x**2.0 != x**2
Changes:
- Add project URLs to setup.py
- fix tests and ctypes code for PyPy
- use npy_intp instead of int for indexing array
- Ignore DeprecationWarning during nose imports
- Fix use-after-free in boolean indexing
- Fix errors in _add_newdocs
- fix byte order reversal for datetime64[ns]
- Use nbytes to also catch empty descr during allocation
- np.array cleared errors occured in PyMemoryView_FromObject
- Fixes for Undefined Behavior Sanitizer (UBSan) errors.
- ensure that casting to/from structured is properly checked.
- fix histogram*d dispatchers
- further fixup to histogram2d dispatcher.
- Replace contextlib.suppress for Python 2.7
- fix compilation of 3rd party modules with Py_LIMITED_API...
- Fix memory leak in dtype from dict contructor
- Document array_function at a higher level.
- add new recfunctions to __all__
- Remove stray print that causes a SystemError on python 3.7
- Pin pytest version to 5.0.1.
- Enable huge pages in all Linux builds
- fix behavior of structured_to_unstructured
